Between meaning and machine: learning to represent the knowledge of communities

Representing knowledge in codified forms is transformative of
ones orientation to that knowledge. We trace the emergence of a
routine for knowledge acquisition and its consequences for participants.
Over time, participants in the earth science project GEON,
first learned about ontologies and then learned how to create
them. We identify three steps in the routine: understanding the
problematic of interoperability; learning the practice of knowledge
acquisition; and engaging the broader community. As participants
traversed the routine they came to articulate, and then represent,
the knowledge of their communities. In a process we call reapprehension,
traversing the routine also transformed participants’ orientation
towards their data, knowledge and community, making
them more keenly aware of the informational aspects of their
fields.